MHC2Pred

The helper T cell epitopes are subset of MHC class II ligands and play a decisive role in initiation and maintenance of immune response. MHC2Pred is a support vector machine (SVM)-based method for prediction of promiscuous binders for 42 MHC class II alleles.

Publication for MHC2Pred

MHC2Pred citations

(10)

library_books

A Brief Review of Computer Assisted Approaches to Rational Design of Peptide Vaccines

2016

Int J Mol Sci

PMCID: 4881492

PMID: 27153063

DOI: 10.3390/ijms17050666

[…] ell epitopes and was tested for high-affinity HLA class II peptide binding. It was found to compare well with several other web-accessible methods for HLA class II peptide-binding prediction, such as MHC2PRED (support vector machine based method for prediction of promiscuous MHC class II binding peptides).Oany et al. [] investigated a computational approach for the design of peptide vaccines again […]

library_books

Immunoinformatics and epitope prediction in the age of genomic medicine

2015

Genome Med

PMCID: 4654883

PMID: 26589500

DOI: 10.1186/s13073-015-0245-0

[…] ors. Another PSSM approach is netMHCII/SMM-align [], which was updated to use ANNs in 2009 []. Other HLA class II epitope predictors are ProPred [], RANKPED [], TEPITOPE [], SVRMHC [], MHC2MIL [] and MHC2pred.All of these tools have some predictors for the HLA-DR locus. netMHCII, RANKPED and MHC2MIL also provide predictions for HLA-DQ and DP. In general, the coverage of the DQ and DP loci is lower […]

library_books

Machine Learning Methods for Predicting HLA–Peptide Binding Activity

2015

Bioinform Biol Insights

PMCID: 4603527

PMID: 26512199

DOI: 10.4137/BBI.S29466

[…] As, while for Class II HLAs, the result comes from nine models including several PSSM-based models and machine learning models. Three machine learning models (QSAR regression-based MHCPRED, SVM-based MHC2PRED and SVR-based SVRMHC) were utilized by IEDB for HLA–peptide binding prediction. When predicting a HLA–peptide binding, not every model is able to return a value. However, if three or more mod […]

library_books

A Novel Transport Mechanism for MOMP in Chlamydophila pneumoniae and Its Putative Role in Immune Therapy

The evolutionary significance of certain amino acid substitutions and their consequences for HIV 1 immunogenicity toward HLA's A*0201 and B*27

2013

Bioinformation

PMCID: 3607191

PMID: 23745018

DOI: 10.6026/97320630009315

[…] cting virally important immunogenic epitopes.
Algorithms have been developed to predict immunogenic
peptides restricted to both MHC Class I and II. MHC Class I
and II in silico tools include ProPred, MHC2PRED, RANKPEP,
SVMHC, MHCPred, and MHC-BPS, SYFPEITHI, BIMAS,
IEDB_ANN, EpiJen, Rankpep, HLApred, NetCTL and
Multipred, among others. These algorithms have been shown to
be useful in identifying b […]

call_split

MHC Class II Binding Prediction—A Little Help from a Friend

[…] nts for each amino acid at each peptide position. The IEDB-SMM align method [] is based on an integrated alignment and motif identification algorithm and predicts directly peptide binding affinities. MHC2Pred [] is a SVM-based prediction server. EpiTOP [] is a newly developed method for MHC class II binding prediction based on proteochemometrics []. It is a matrix-based method which considers both […]